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  • 标题:Towards a Predictive Maintenance System of a Hydraulic Pump ⁎
  • 本地全文:下载
  • 作者:Domingo Llorente Rivera ; Markus R. Scholz ; Michael Fritscher
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:11
  • 页码:447-452
  • DOI:10.1016/j.ifacol.2018.08.346
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this contribution we present a model based approach towards predictive maintenance of the hydraulic pump of an injection-moulding machine for a system that remains in production. We present a methodology to iteratively gain a detailed understanding of a production facility. We describe our approach from problem evaluation, gathering of expert knowledge, data access, exploration of and knowledge mapping to the data, towards a first model. We discuss the advantages of the implementation of expert knowledge to define normal machine behaviour in terms of data-quality control and resource-friendly modelling. We present first results from a physical model of a subprocess and from a model based on vibration analysis and discuss their interplay and possible benefits from this different models.
  • 关键词:Keywordsindustrial analyticspredictive maintenancehydraulichydraulic pump
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